1. A Majumdar, S Bhattacharya, A Basu, S Ghosh. A novel Bayesian semi-parametric algorithm for inferring population structure and adjusting for case-control association tests. Biometrics, 2013. [link]
2. A Majumdar, JS Witte, S Ghosh. Semi-parametric allelic tests for mapping multiple phenotypes: Binomial regression and Mahalanobis distance. Genetic Epidemiology, 2015. [link]
3. A Majumdar, T Haldar, JS Witte. Determining which phenotypes underlie a pleiotropic signal. Genetic Epidemiology, 2016. [link]
4. A Majumdar, T Haldar, S Bhattacharya, JS Witte. An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations. PLoS Genetics, 2018. [link]
5. K Hou*, KS Burch*, A Majumdar, H Shi, N Mancuso, Y Wu, S Sankararaman, B Pasaniuc. Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture. Nature Genetics, 2019. *Joint first author. [link]
6. A Majumdar, K Burch, T Haldar, S Sankararaman, B Pasaniuc, W Gauderman, J Witte. A two-step approach to testing overall effect of gene-environment interaction for multiple phenotypes. Bioinformatics, 2020. [link]
7. I Mandric, T Schwarz, A Majumdar, Kangcheng Hou, . . . ., B Pasaniuc, E Halperin. Optimal design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis. Nature Communications, 2020. [link]
8. A Majumdar, C Giambartolomei, N Cai, T Haldar, T Schwarz, M Gandal, J Flint, B Pasaniuc. Leveraging eQTLs to identify individual-level tissue of interest for a complex trait. PLoS Computational Biology, 2021. [link]
9. H Feng, N Mancuso, A Gusev, A Majumdar, M Major, B Pasaniuc, P Kraft. Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies. PLoS Genetics, 2021.
10. H Chen, A Majumdar, L Wang, . . ., P Kraft, B Pasaniuc, S Lindstrom. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. Human Genetics and Genomics Advances, 2021 [link].
11. A Majumdar*, P Patel*, B Pasaniuc, R Ophoff. A summary-statistics based approach to examine the role of serotonin transporter promoter tandem repeat polymorphism in psychiatric phenotypes. European Journal of Human Genetics, 2021 [link]. *Joint first author.
12. S Lindstroem*, L Wang*, H Feng*, A Majumdar*, S Guo*, et al. Genome-wide analyses characterize shared heritability among cancers and identify novel cancer susceptibility regions. Journal of the National Cancer Institute, 2023. *Joint first author.
13. A Majumdar, B Pasaniuc. A Bayesian method for estimating gene-level polygenicity under the framework of transcriptome-wide association study. Statistics in Medicine, 2023.
14. K Kundal, KV Rao, A Majumdar, N Kumar, R Kumar. Comprehensive Benchmarking of CNN-Based Tumor Segmentation Methods Using Multimodal MRI Data. Computers in Biology and Medicine, 2024.
15. S Mishra, A Majumdar. A multi-phenotype approach to joint testing of main genetic and gene-environment interaction effects. Statistics in Medicine, 2025.